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PODCAST

Tech Lead Journal

Henry Suryawirawan

Great technical leadership requires more than just great coding skills. It requires a variety of other skills that are not well-defined, and they are not something that we can fully learn in any school or book. Hear from experienced technical leaders sharing their journey and philosophy for building great technical teams and achieving technical excellence. Find out what makes them great and how to apply those lessons to your work and team.

technology

All Episodes

01:18:00

#242 - The End of Traditional Management: Reimagining...

Tech Lead Journal ·

2025/12/08

(04:11) Brought to you by JellyfishAI tools alone won’t transform your engineering org. Jellyfish provides insights into AI tool adoption, cost, and delivery impact – so you can make better investment decisions and build teams that use AI effectively. See for yourself at jellyfish.co/platform/ai-impact.Are you managing your team the same way you did five years ago? With AI agents now part of the workforce, the old playbook no longer applies.In this episode, Jurgen Appelo, author of “Human Robot

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01:01:51

#241 - Your Code as a Crime Scene: The Psychology...

Tech Lead Journal ·

2025/12/01

(04:00) Brought to you by UnleashUnleash is a private, flexible, and scalable feature flag system that lets teams decouple deployments from releases. It reduces the risk of shipping new features and gives organizations real-time control over what reaches production. And as AI accelerates development, Unleash helps engineering teams move fast and stay stable with safe rollouts and instant kill switches. Start a free trial of Unleash at ⁠getunleash.io/pricing⁠.Why do so many software projects still

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01:06:31

#240 - AI as Your Thought Partner: Break Boundaries &...

Tech Lead Journal ·

2025/11/24

(06:03) Brought to you by UnleashUnleash is a private, flexible, and scalable feature flag system that lets teams decouple deployments from releases. It reduces the risk of shipping new features and gives organizations real-time control over what reaches production. And as AI accelerates development, Unleash helps engineering teams move fast and stay stable with safe rollouts and instant kill switches. Start a free trial of Unleash at getunleash.io/pricing.Are you making critical decisions without

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01:06:29

#239 - Taming Your Technical Debt: Mastering the...

Tech Lead Journal ·

2025/11/17

(06:06) Brought to you by JellyfishAI tools alone won’t transform your engineering org. Jellyfish provides insights into AI tool adoption, cost, and delivery impact – so you can make better investment decisions and build teams that use AI effectively. See for yourself at jellyfish.co/platform/ai-impact.Why do organizations constantly complain about having too much technical debt? Because they’re solving the wrong problem.In this episode, Dr. Andrew Brown, author of “Taming Your Dragon: Addressing

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01:16:25

#238 - AI is Smart Until It's Dumb: Why LLM Will Fail...

Tech Lead Journal ·

2025/11/10

Why does an AI that brilliantly generates code suddenly fail at basic math? The answer explains why your LLM will fail when you least expect it.In this episode, Emmanuel Maggiori, author of “Smart Until It’s Dumb” and “The AI Pocket Book,” cuts through the AI hype to reveal what LLMs actually do and, more importantly, what they can’t. Drawing from his experience building AI systems and witnessing multiple AI booms and busts, Emmanuel explains why machine learning works brilliantly until it makes

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01:09:53

#237 - Tackling AI and Modern Complexity with...

Tech Lead Journal ·

2025/11/03

Can decades-old management philosophy actually help us tackle AI’s biggest challenges?In this episode, John Willis, a foundational figure in the DevOps movement and co-author of the DevOps Handbook, takes us through Dr. W. Edwards Deming’s System of Profound Knowledge and its surprising relevance to today’s most pressing challenges. John reveals how Deming’s four-lens framework—theory of knowledge, understanding variation, psychology, and systems thinking—provides a practical approach to managing

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01:24:51

#236 - From Figma to Code: The Rise of Design...

Tech Lead Journal ·

2025/10/27

In this episode, Honey Mittal, CEO and co-founder of Locofy.ai, explores one of the most exciting transformations in software development: the convergence of design and engineering through AI-powered automation.Honey shares the fascinating journey of building Locofy, a tool that converts Figma designs into production-ready front-end code. But this isn’t just another AI hype story. It’s a deep dive into why Large Language Models (LLMs) fundamentally can’t solve design-to-code problems, and why his

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01:10:52

#235 - From AI Chaos to Clarity: Building Situational...

Tech Lead Journal ·

2025/10/13

Can you navigate AI disruption without understanding your landscape? Discover how to gain true situational awareness.The rise of AI has exposed a fundamental problem in how organizations make decisions. Most leaders operate using stories and graphs, not actual maps of their landscape. This leaves them vulnerable to disruption and unable to make informed choices about where to apply new technologies. The result is chaos, waste, and strategic mistakes that could have been avoided.In this episode,

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01:02:11

#234 - Building for Reliability: Durable Execution &...

Tech Lead Journal ·

2025/10/06

How much of your code exists only to prevent failures? Discover a new paradigm for building reliable applications.In this episode, Preeti Somal, SVP at Temporal, explores a paradigm shift that can dramatically boost productivity and give developers peace of mind. Drawing on her experience leading massive infrastructure at Yahoo and HashiCorp, she explains Temporal’s concept of durable execution that helps developers focus on business logic and remove reliability concerns. Preeti also discusses key

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01:07:01

#233 - Data Beats Hype: Measuring Your AI Adoption...

Tech Lead Journal ·

2025/09/29

“Engineering leaders are stuck between the expectations put out by sensational headlines and the reality of what they’re seeing in their organization. There’s a big disappointment gap.”Is your AI investment paying off? Many leaders struggle to see real ROI beyond the hype.In this episode, Laura Tacho, CTO of DX, shares DX’s new research on measuring AI adoption success across 38,000+ engineers. Our conversation reveals why acceptance rates are misleading metrics and introduces DX’s new AI

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01:35:21

#232 - Hibernate Creator on Why Developers Hate ORM...

Tech Lead Journal ·

2025/09/22

“Architecture is something that has to emerge naturally from the code. If it doesn’t make the code better, more elegant, and more flexible, then you should not be doing it.”Why do so many developers have a love-hate relationship with ORM? The creator of Hibernate reveals the real reasons behind the controversy and what’s being done to fix the fundamental issues.In this episode, Gavin King, the creator of Hibernate, shares the story behind its creation, from a debate with his boss to its rise as a

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01:00:57

#231 - Faster Code Reviews, Faster Code Shipping with...

Tech Lead Journal ·

2025/09/01

Are long code review cycles killing your engineering team’s velocity? Learn how top engineering teams are shipping code faster without sacrificing quality.In this episode, Greg Foster, CTO and co-founder of Graphite, discusses the evolution of code review practices, from the fundamentals of pull requests to the future of AI in code review workflows. He shares the secrets behind how the Graphite team became one of the most productive engineering teams by leveraging techniques like small code changes

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00:57:25

#230 - Technical Coaching in the Age of AI with...

Tech Lead Journal ·

2025/08/25

Struggling with technical debt and code quality? Learn how a technical coach can help your team level up.In this episode, Emily Bache, a Samman technical coach, shares her proven method for building better engineering teams through structured learning and collaborative coding. We explore ensemble programming, learning hours, and why AI makes fundamental engineering practices more important than ever.Key topics discussed:The role of a Technical Coach and the Samman Method explainedHow AI amplifies

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01:01:04

#229 - The Management System for High-Performing...

Tech Lead Journal ·

2025/08/18

Why do engineering teams slow down as they scale? It’s not the technology—it’s the management systems.In this episode, Michi Kono, CTO at Garner Health and former engineering leader at Meta, Capital One, and Stripe, shares his battle-tested approach to building scalable engineering organizations. We explore why most teams slow down as they scale and how to build systems that accelerate growth. Our conversation covers everything from designing effective org charts to creating accountability without

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01:09:57

#228 - Leading Transformational Engineering Teams...

Tech Lead Journal ·

2025/08/11

How do you build a high-performing engineering team in the AI era? And will AI make fundamental engineering skills obsolete?In this episode, Mohan Krishnan, Head of Engineering at Grab, shares lessons from leading multiple transformational engineering teams. Drawing from his experience at Grab, Bukalapak, BBM Emtek, and Pivotal Labs, Mohan explains why core engineering fundamentals still matter, even in the age of AI, and will become even more valuable than ever. He discusses building disciplined,

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00:56:11

#227 - Infrastructure as Code: Delivering Dynamic...

Tech Lead Journal ·

2025/08/04

How has Infrastructure as Code changed in the last five years? Explore the key shifts and how to align your infrastructure to real business value.In this episode, Kief Morris, a Distinguished Infrastructure Engineer at Thoughtworks, returns to discuss the third edition of his book “Infrastructure as Code.” He shares fresh insights on designing and delivering dynamic systems for today’s cloud-driven world. Kief explores the evolution of IaC, practical methods for modern teams, the next generation of

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00:54:27

#226 - Ex-Google Duplex Eng Lead on Disrupting $2B...

Tech Lead Journal ·

2025/07/28

Ever wondered how AI is being applied in the world of clinical trials where human lives are at stake?In this episode, Patrick Leung, CTO of Faro Health and former Google Duplex Engineering Lead, reveals how AI is transforming the clinical trial process — a process that can cost up to $2 billion per drug and take over 10 years to complete. Patrick reveals how Faro Health’s AI systems generate complex clinical documentation in minutes instead of months in which hallucinations aren’t acceptable, while

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01:01:17

#225 - Driving Engineering Excellence with Platform...

Tech Lead Journal ·

2025/07/21

Is your engineering team running like the wild, wild west? What does engineering excellence look like in practice?In this episode, Ganesh Datta, co-founder and CTO of Cortex, explores what it takes to achieve engineering excellence. Ganesh shares lessons from his own journey, from early bug-fixing to building a company focused on engineering excellence.We discuss how platform engineering and internal developer platforms (IDPs) can help teams scale, improve reliability, and align with business

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01:04:14

#224 - Move Fast, Break Silos: Leadership for...

Tech Lead Journal ·

2025/07/14

Is your software development process stuck on a conveyor belt? Discover how to break free from outdated manufacturing mindsets and build truly high-performing, agile teams that “Move Fast and Break Silos.”In this episode, experienced CPTO, Klaus Breyer, introduces a revolutionary approach to software development. He explains why treating software engineering like a factory assembly line leads to inefficiency, micromanagement, and disempowered teams. Learn how to slice work effectively—from

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01:07:13

#223 - The Software Engineer Identity Crisis in the...

Tech Lead Journal ·

2025/07/07

Is AI taking over the craft of coding? Many engineers now face an identity crisis.In the episode, Distinguished Engineer Annie Vella discusses her research on AI’s impact on software development. She explores the “software engineering identity crisis” as the craft of coding becomes automated. Annie warns that the seductive speed of AI tools can lead to lower quality and delivery instability, a trend supported by reports from DORA and GitClear. She also cautions that over-reliance on AI prevents

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78 results

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